Land and Water Resources for Food and Agriculture-Reference-Cited by-同舟云学术

Land and Water Resources for Food and Agriculture

Published:2024-04-23 Issue:5 Volume:14 Page:880
ISSN:2073-4395
Container-title:Agronomy
language:en
Short-container-title:Agronomy

Author:

Zhang Fan¹^ORCID,Li Mo²^ORCID

Affiliation:

1. Jixian National Forest Ecosystem Observation and Research Station, National Ecosystem Research Network of China (CNERN), School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China

2. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China

Abstract

As the population continues to increase, the demand for food has never been greater, placing immense pressure on the sustainable management of land and water resources [...]

Publisher

MDPI AG

Link

https://www.mdpi.com/2073-4395/14/5/880/pdf

Reference13 articles.

1. Zhang, F., Tang, P., Zhou, T., Liu, J., Li, F., and Shan, B. (2024). Cloud-based framework for precision agriculture: Optimizing scarce water resources in arid environments amid uncertainties. Agronomy, 14.

2. Ribeiro, V.P., Desuó Neto, L., Marques, P.A.A., Achcar, J.A., Junqueira, A.M., Chinatto, A.W., Junqueira, C.C.M., Maciel, C.D., and Balestieri, J.A.P. (2023). A stochastic Bayesian artificial intelligence framework to assess climatological water balance under missing variables for evapotranspiration estimates. Agronomy, 13.

3. Wang, B., Sun, H., Guo, S., Huang, J., Wang, Z., Bai, X., Gong, X., and Jin, X. (2023). Strategy for deriving Sacramento model parameters using soil properties to improve its runoff simulation performances. Agronomy, 13.

4. Zhou, Y., Zhang, X., Chen, Y., and Li, H. (2023). An optimisation–evaluation framework for the sustainable management of the water–energy–food nexus for an irrigation district under uncertainty. Agronomy, 13.

5. Chen, A., Hao, Z., Wang, R., Zhao, H., Hao, J., Xu, R., and Duan, H. (2023). Cultivated land sustainable use evaluation from the perspective of the water–land–energy–food nexus: A case study of the major grain-producing regions in Quzhou, China. Agronomy, 13.